Intermediate Program

Power BI Practitioner

Practitioner sharpens the skills that separate report builders from dependable Power BI owners: model grain, bridge-table design, advanced DAX, row-level security, performance profiling, and operational refresh discipline.

Designed for analysts who already know the basics and need production-ready modeling, DAX, security, and performance habits.

Duration

8 weeks · 12 practitioner sessions

Program Focus

7 curriculum sections

Study Rhythm

Plan for 2 to 4 hours per module plus the capstone labs.

What You'll Receive

Intermediate Learning Guide — intermediate-guide.md (PDF)

Advanced DAX Cheat Sheet — advanced-dax-cheatsheet.md (PDF)

6 Hands-On Exercises with business scenario datasets

Full Exercise Correction Guide with DAX walkthroughs & common mistakes

Lifetime access to all materials

Learning Objectives

Design data models with explicit grain, resilient relationships, and reusable semantic patterns.
Write intermediate-to-advanced DAX that handles context transition, virtual tables, and time intelligence with intent.
Implement row-level security and workspace practices without introducing ambiguity or hidden risk.
Profile and optimize slow models with Performance Analyzer and DAX Studio.
Build stakeholder-facing reports with navigation, drill paths, and cleaner analytical layout decisions.
Manage refresh, gateway setup, and practitioner workflows that hold up after launch.

What's Covered

Production-minded semantic modeling, including bridge tables and multi-fact scenarios.
Power Query M language techniques for parameterization, standardization, and reuse.
Advanced DAX patterns from CALCULATE and iterators to virtual tables and debugging workflows.
Dynamic row-level security, report navigation, and performance optimization fundamentals.
Gateway setup, scheduled refresh, and operating habits that keep reports dependable.
Capstone exercises that move beyond demos into realistic business reporting scenarios.

Curriculum

Full Program Breakdown

Each section is designed to build practical skill, not just theory. You move from guided concepts into repeatable delivery habits and portfolio-ready work.

Advanced Data Modeling That Holds Up in Production

Redesign how you think about semantic models so totals stay trustworthy as complexity grows.

Table grain and model validation
Bridge-table patterns and many-to-many scenarios
Star schema decisions for real-world datasets

Power Query M Language Deep Dive

Move past click-only transformations and into repeatable M-based workflows.

Parameters and reusable functions
Standardized transformations
Connection-only staging and folding awareness

Row-Level Security (RLS) Without Surprises

Secure reports in ways that scale with teams and changing access rules.

Dynamic access tables
Role design and testing
Filter paths that do not compromise totals

Performance Optimization for Faster Models and Reports

Profile slow visuals and fix the expensive choices behind them.

Performance Analyzer workflows
DAX Studio inspection
Model and measure tuning fundamentals

Complex Report Layouts for Real Stakeholders

Design reports that navigate well under business pressure.

Intentional navigation and drill paths
Layout decisions for dense analytical pages
User-friendly storytelling across report pages

Gateway Setup and Scheduled Refresh

Operationalize the report so it keeps working after the build phase ends.

Gateway setup patterns
Scheduled refresh strategy
Failure points and monitoring habits

Recommended 6-Week Practitioner Study Plan

Tie the technical material together into a disciplined implementation and revision rhythm.

Weekly practice cadence
Prioritization of labs and capstone work
Readiness signals for the specialist track

What You'll Build

Rebuild a Raw Multi-Table Dataset Into a Report-Ready Model
Model a Many-to-Many Business Scenario With a Bridge Table
Implement Dynamic Row-Level Security
Capstone - End-to-End Practitioner Build

Included Resources

Intermediate Guide

intermediate-guide.md

The core practitioner manual covering modeling, governance, performance, and operating workflows.

Advanced Data Modeling That Holds Up in Production
Power Query M Language Deep Dive
Row-Level Security (RLS) Without Surprises
Performance Optimization for Faster Models and Reports
Complex Report Layouts for Real Stakeholders

Advanced DAX Cheat Sheet

advanced-dax-cheatsheet.md

A compact reference for the DAX patterns that matter once filter context becomes the main source of bugs.

CALCULATE and Context Transition
Iterator Functions (`X` Functions)
Variables with `VAR` / `RETURN`
Virtual Tables
Advanced Time Intelligence Patterns
Debugging and Performance Patterns

Intermediate Exercises

exercises.md

Realistic scenarios that force modeling decisions, security tradeoffs, and performance investigation.

Rebuild a Raw Multi-Table Dataset Into a Report-Ready Model
Implement Dynamic Row-Level Security
Capstone - End-to-End Practitioner Build

Exercise Correction Guide

exercises-corrections.md

Full solutions with DAX walkthroughs, expected query results, common practitioner mistakes, and optimization tips.

Complete DAX measure solutions with context explanations
Performance optimization tips and DAX Studio comparisons
Common modeling mistakes and correct patterns
Alternative approaches for each scenario

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